Layout Optimisation of Wave Energy Converter Arrays

Pau Mercadé Ruiz, Vincenzo Nava, Mathew B. R. Topper, Pablo Ruiz Minguela, Francesco Ferri and Jens Peter Kofoed
Additional contact information
Pau Mercadé Ruiz: Department of Civil Engineering, Aalborg University, Thomas Manns Vej 23, 9220 Aalborg, Denmark
Vincenzo Nava: Tecnalia Research and Innovation, Energy and Environmental Division, Parque Tecnologico de Bizkaia, 48160 Derio, Spain
Mathew B. R. Topper: Institute for Energy Systems, The University of Edinburgh, Edinburgh EH9 3DW, Scotland, UK
Pablo Ruiz Minguela: Tecnalia Research and Innovation, Energy and Environmental Division, Parque Tecnologico de Bizkaia, 48160 Derio, Spain
Francesco Ferri: Department of Civil Engineering, Aalborg University, Thomas Manns Vej 23, 9220 Aalborg, Denmark
Jens Peter Kofoed: Department of Civil Engineering, Aalborg University, Thomas Manns Vej 23, 9220 Aalborg, Denmark

Energies, 2017, vol. 10, issue 9, 1-17

Abstract: This paper proposes an optimisation strategy for the layout design of wave energy converter (WEC) arrays. Optimal layouts are sought so as to maximise the absorbed power given a minimum q -factor, the minimum distance between WECs, and an area of deployment. To guarantee an efficient optimisation, a four-parameter layout description is proposed. Three different optimisation algorithms are further compared in terms of performance and computational cost. These are the covariance matrix adaptation evolution strategy (CMA), a genetic algorithm (GA) and the glowworm swarm optimisation (GSO) algorithm. The results show slightly higher performances for the latter two algorithms; however, the first turns out to be significantly less computationally demanding.

Keywords: wave energy arrays; array layout; optimisation; evolution strategy; swarm intelligence (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (23)

Downloads: (external link)
https://www.mdpi.com/1996-1073/10/9/1262/pdf (application/pdf)
https://www.mdpi.com/1996-1073/10/9/1262/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:10:y:2017:i:9:p:1262-:d:109622

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().